gxceed
← 論文一覧に戻る

City-level energy and emission assessment based on 20+ million electric vehicle registrations in China

中国における2000万台以上の電気自動車登録に基づく都市レベルのエネルギー・排出評価 (AI 翻訳)

Yanqiao Deng, Minda Ma, Nan Zhou, Hong Yuan, Zhili Ma, Xin Ma

Nexusプレプリント2026-05-30#EV・輸送Origin: CN対象セクター: transport
DOI: 10.1016/j.ynexs.2026.100148
原典: https://doi.org/10.1016/j.ynexs.2026.100148

🤖 gxceed AI 要約

日本語

中国295都市の586車種、2000万台以上のEV登録データを分析。実世界データからEVのエネルギー効率と炭素強度の地域差を明らかにし、2035年までの排出シナリオを提示。ガソリンが依然EVエネルギーの44%を占めるなど、電化の限界も示す。

English

Using over 20 million registrations of 586 EV models across 295 Chinese cities from 2022-2024, this study provides high-resolution assessment of EV adoption, energy efficiency, and carbon intensity. Real-world data show EVs are 30.9-212.8 MJ/100km more efficient than ICEs, but carbon intensity varies widely (18.2-270.4 gCO2/km) among provinces. Scenario projections indicate emissions will peak around 2030 and decline by 2035, but gasoline still accounts for 44% of EV energy use due to limited hybrid electrification.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本のEV普及政策にも示唆を与える実証分析。地域別の排出係数差の把握が重要であり、日本でも同様の高解像度データ整備が求められる。

In the global GX context

This paper offers globally relevant insights for road-transport decarbonization, particularly by establishing an empirical foundation for accurate emissions accounting of EVs. The findings on regional disparities in carbon intensity highlight the need for coupled grid decarbonization strategies.

👥 読者別の含意

🔬研究者:Provides high-resolution empirical data on EV energy and emissions, useful for transport decarbonization modeling and lifecycle analysis.

🏢実務担当者:Offers data-driven benchmarks for fleet managers and urban planners assessing EV adoption benefits and regional grid impacts.

🏛政策担当者:Emphasizes the need for regional grid decarbonization to maximize EV climate benefits and reduce disparities in EV adoption.

📄 Abstract（原文）

China, the world's largest electric vehicle (EV) market, plays a pivotal role in global decarbonization of the transport sector. We present the first high-resolution assessment of EV adoption in 295 cities, utilizing more than 20 million registrations of 586 EV models tracked monthly from 2022 to 2024 and projecting transition pathways to 2035. Real-world data reveal that EVs are 30.9-212.8 megajoules per 100 km more energy efficient than internal combustion vehicles, yet their carbon intensities range from 18.2 to 270.4 gCO2/km among provinces. The limited electrification of hybrids means that gasoline still accounts for 44% of EV energy use. Scenario projections suggest that emissions will peak about 2030 at 21.1-30.9 megatonnes of CO2 and decline by 2035 under continued market transition. The findings establish an empirical foundation for accurate emissions accounting, emphasize the need to reduce regional disparities in adoptability, and offer globally relevant insights for road-transport decarbonization.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。